MDedup: Duplicate Detection with Matching Dependencies
Our system uses automatically discovered MDs, dataset features, and known gold standards to train a model that selects MDs as duplicate detection rules.
Featured Publications
Binary Theta-Joins using MapReduce: Efficiency Analysis and Improvements
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Recent Publications
(2021).
Knowledge Transfer for Entity Resolution with Siamese Neural Networks.
In ACM JDIQ, 2021.
(2020).
MDedup: Duplicate Detection with Matching Dependencies.
In VLDB 2020.
(2020).
Data Preparation for Duplicate Detection.
In ACM JDIQ, 2020.
(2020).
Efficient Discovery of Matching Dependencies.
In ACM TODS 2020.
(2018).
Experience: Enhancing Address Matching with Geocoding and Similarity Measure Selection.
In ACM JDIQ 2018.